Influence of Carbon Nanotubes on Performance Properties and Storage Stability of SBS Modified Asphalt Binders

Goli, Ahmad; Ziari, Hassan; Amini, Amir

doi:10.1061/(asce)mt.1943-5533.0001910

Cited by 88 publications

(33 citation statements)

References 29 publications

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“…Most of the applied research studies on the treatment of oil pollutants by TiO 2′ were focused on the treatment of water surface oil pollution, while the studies on the effects of photocatalytic degradation of oil pollution on road surfaces and the corresponding test methods and evaluation indexes for cement concrete or asphalt pavements are still relatively few. Besides, many researchers have found that the nanoparticles can potentially improve the rutting and cracking resistance of asphalt mixtures, which make the application of TiO 2 on the asphalt pavement to be more applicable [33][34][35][36][37][38][39].…”

Section: Introductionmentioning

confidence: 99%

Laboratory experiment on the nano-TiO₂photocatalytic degradation effect of road surface oil pollution

Wang

Zheng

et al. 2020

Nanotechnology Reviews

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Oil leak from vehicles is one of the most common pollution types of the road. The spilled oil could be retained on the surface and spread in the air voids of the road, which results in a decrease in the friction coefficient of the road, affects driving safety, and causes damage to pavement materials over time. Photocatalytic degradation through nano-TiO2 is a safe, long-lasting, and sustainable technology among the many methods for treating oil contamination on road surfaces. In this study, the nano-TiO2 photocatalytic degradation effect of road surface oil pollution was evaluated through the lab experiment. First, a glass dish was used as a substrate to determine the basic working condition of the test; then, a test method considering the impact of different oil erosion degrees was proposed to eliminate the effect of oil erosion on asphalt pavement and leakage on cement pavement, which led to the development of a lab test method for the nano-TiO2 photocatalytic degradation effect of oil pollution on different road surfaces.

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Section: Introductionmentioning

confidence: 99%

Laboratory experiment on the nano-TiO₂photocatalytic degradation effect of road surface oil pollution

Wang

Zheng

et al. 2020

Nanotechnology Reviews

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“…When the FTIR spectrometer scanned a small quantity of the modified asphalt, i.e., approximately 1 g, the dispersion uniformity of the SBS modifier was found to have a significant influence on the FTIR spectra [27]. erefore, the dispersion uniformity of the SBS modifier in modified asphalt should be validated before the FTIR test.…”

Section: Validation Of Sbs Modifier Dispersion Uniformitymentioning

confidence: 99%

SBS Content Detection for Modified Asphalt Using Deep Neural Network

Wang¹,

Zhang

et al. 2020

Advances in Materials Science and Engineering

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This study proposes a prediction model for accurately detecting styrene-butadiene-styrene (SBS) content in modified asphalt using the deep neural network (DNN). Traditional methods used for evaluating the SBS content are inaccurate and complicated because they are prone to produce errors by manual computation. Feature data of SBS content are derived from the spectra, which are obtained by the Fourier-transform infrared spectroscopy test. After designing DNN, preprocessed feature data are utilized as training and testing data and are fed into the DNN via a feature matrix. Furthermore, comparative studies are conducted to verify the accuracy of the proposed model. Results show that the mean square error value decreased by 68% for DNN with noise and dimension reduction. The DNN-based prediction model showed that the correlation coefficient between the target value and the mean predicted value is 0.9978 and 0.9992 for training and testing samples, respectively, indicating its remarkable accuracy and applicability after training. In comparison with the standard curve method and the random forest method, the precision of DNN is greater than 98% for the same test conditions, achieving the best predicting performance.

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“…Only a few studies conducted the polymer/CNT composite modification for asphalt. Goli et al [19] investigated the influence of CNT on physical, rheological properties and storage stability of SBS (styrene-butadiene-styrene) modified asphalt. The results showed that the addition of CNT to SBS modified asphalt improves the storage stability.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Rheological Properties of Carbon Nanotubes/Polymer Composites Modified Asphalt

Liang

et al. 2020

Materials

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The utilization of nanomaterials in the field of binder materials for road paving has attracted researchers’ attention in recent years. This study presented the performance properties of a binder modified with carbon nanotubes (CNT) and polyethylene (PE). The rheological properties, adhesion behavior, morphology, and storage stability of the modified asphalt were investigated. Experimental analysis indicated a positive effect of CNT/PE composites on the performance of the binder. The results indicate that the combined use of CNT and PE shows a significant enhancement on complex modulus, viscosity, and creep recovery of the binder at high temperatures and a great decrease in compliance, indicating great resistance to permanent deformation. Meanwhile, only using CNT to improve the high temperature performance of the binder is limited due to high shear mixing. CNT/PE modifiers enhance the cracking resistance at low temperatures and moisture damage resistance. The CNT/PE melt mixing composites endow asphalt with stronger cracking resistance, better resistance to moisture damage and workability. Asphalt with CNT/PE composites formed an even dispersion system. Notably, CNT bridges on the interface between PE phase and asphalt for the two modified asphalts, which reinforces the cohesion of interface. Asphalt with CNT/PE composites showed improved storage stability in comparison with PE modified asphalt.

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Influence of Carbon Nanotubes on Performance Properties and Storage Stability of SBS Modified Asphalt Binders

Cited by 88 publications

References 29 publications

Laboratory experiment on the nano-TiO₂photocatalytic degradation effect of road surface oil pollution

Laboratory experiment on the nano-TiO₂photocatalytic degradation effect of road surface oil pollution

SBS Content Detection for Modified Asphalt Using Deep Neural Network

Investigating the Rheological Properties of Carbon Nanotubes/Polymer Composites Modified Asphalt

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Influence of Carbon Nanotubes on Performance Properties and Storage Stability of SBS Modified Asphalt Binders

Cited by 88 publications

References 29 publications

Laboratory experiment on the nano-TiO2photocatalytic degradation effect of road surface oil pollution

Laboratory experiment on the nano-TiO2photocatalytic degradation effect of road surface oil pollution

SBS Content Detection for Modified Asphalt Using Deep Neural Network

Investigating the Rheological Properties of Carbon Nanotubes/Polymer Composites Modified Asphalt

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Laboratory experiment on the nano-TiO₂photocatalytic degradation effect of road surface oil pollution

Laboratory experiment on the nano-TiO₂photocatalytic degradation effect of road surface oil pollution